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Abstract

Summary

This paper shows an example of the impact of the well selection on the reliability of the petrophysical model and further reservoir characterization at one of the fields in Western Siberia. The petrophysical model comprises a statistical description of modeled lithotypes in terms of elastic properties and is subsequently used for parameters selection for performing the pre-stack geostatistical seismic inversion. Hence, the errors and uncertainties in petrophysical model entail distortion and lead to an inaccurate result of seismic reservoir characterization.

The creation of a petrophysical model was done in two stages. At the first stage wells with a thick oil-saturated reservoir were used for modeling of elastic properties of rocks. Statistics on the water-saturated reservoir was obtained by fluid substitution of oil on water. Detailed analysis of well data showed that the reservoir properties of water-saturated formation differ from oil-saturated. In the second phase, in the petrophysical new wells were added, it significantly improved the results of the stochastic inversion. This fact emphasizes the need for a statistical description of all the lithotypes by well data when you create models for stochastic inversion.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201800185
2018-04-09
2024-04-23

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References

  1. ВендельштейнБ.Ю., РезвановР.А.
    , «Геофизические методы определения параметров нефтегазовых коллекторов», Москва, Недра, 1978г.
     [Google Scholar]
  2. СоколоваТ.Ф., ЛатышеваМ.Г.
    , «Практическое руководство по интерпретации данных ГИС», РГУ нефти и газа им. И.М. Губкина, 2007
     [Google Scholar]
  3. MavkoG., MukerjiТ., DvorkinJ
    , The rock physics handbook: tools for seismic analysis in porous media, Cambridge University Press, 2003.
     [Google Scholar]
  4. DubruleO.
    Geostatistica in Petroleum Geology, American Association of Petroleum Geologists, 1998, 250 p.
     [Google Scholar]
  5. Haas, A. and Dubrule, O.
    Geostatistical Inversion – a Sequential Method of Stochastic Reservoir Modeling Constrained by Seismic Data, 1994, First Break, 12, No. 11, p. 561–569.
     [Google Scholar]
  6. AmpilovY. P.
    From seismic interpretation to modeling and assessment of oil and gas fields. EAGE Publications bv, 2010.
     [Google Scholar]
  7. WendelsteinB. J., Rezvanov, R. A.
    , “Geofizicheskie metodyi opredeleniya parametrov neftegazovyih kollektorov”, Moscow, Nedra, 1978.
     [Google Scholar]
  8. SokolovaT. F., Latysheva, M. G.
    , “Prakticheskoe rukovodstvo po interpretatsii dannyih GIS”, Gubkin Russian state university of oil and gas, 2007
     [Google Scholar]
  9. MavkoG., Mukerji, T., Dvorkin, J
    , The rock physics handbook: tools for seismic analysis in porous media, Cambridge University Press, 2003.
     [Google Scholar]
  10. DubruleO.
    Geostatistica in Petroleum Geology, American Association of Petroleum Geologists, 1998, 250 p.
     [Google Scholar]
  11. Haas, A. and Dubrule, O.
    Geostatistical Inversion – a Sequential Method of Stochastic Reservoir Modeling Constrained by Seismic Data, 1994, First Break, 12, No. 11, p. 561–569.
     [Google Scholar]
  12. AmpilovY. P.
    From seismic interpretation to modeling and assessment of oil and gas fields. EAGE Publications bv, 2010.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800185
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The Impact of Well Selection on the Results of Petrophysical Modeling and Stochastic Seismic Inversion
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201800185
/content/papers/10.3997/2214-4609.201800185
/content/papers/10.3997/2214-4609.201800185
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